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008 141015s2015 caua b 001 0 eng d
010 _a 2014040955
011 _aBIB MATCHES WORLDCAT
020 _a1452274185
_qpbk.
_qalk. paper
020 _a9781452274188
_qpbk.
_qalk. paper
035 _a(ATU)b14098957
035 _a(OCoLC)881206961
040 _aDLC
_beng
_erda
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042 _apcc
050 0 0 _aHM538
_b.A94 2015
082 0 0 _a300.723
_223
100 1 _aAuspurg, Katrin,
_eauthor.
_9825077
245 1 0 _aFactorial survey experiments /
_cKatrin Auspurg, Goethe University, Thomas Hinz, University of Konstanz.
264 1 _aLos Angeles :
_bSAGE,
_c[2015]
264 4 _c©2015
300 _axvii, 143 pages :
_billustrations ;
_c22 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
490 1 _aQuantitative Applications in the Social Sciences ;
_v175
504 _aIncludes bibliographical references and index.
505 0 0 _g1.
_tIntroduction --
_g2.
_tWhy and When to Use Factorial Survey Methods --
_g3.
_tSetting Up the Experimental Design --
_g4.
_tSetting Up the Survey --
_g5.
_tData Analyses --
_g6.
_tFurther Aspects --
_g7.
_tConcluding Remarks.
520 _a"Filling a gap in the literature of the field, this first-of-its-kind book provides researchers with a practical guide to using the factorial survey method to assess respondents' beliefs about the world, judgment principles, or decision rules through multi-dimensional stimuli ("vignettes") that resemble real-life decision-making situations. Using insightful examples to illustrate their arguments, the authors guide researchers through all relevant steps, including how to set up the factorial experimental design (drawing samples of vignettes and respondents), how to handle the practical challenges that must be mastered when an experimental plan with many different treatments is embedded in a survey format, and how to deal with questions of data analysis. In addition to providing the "how-tos" of designing factorial survey experiments, the authors cover recent developments of similar methods, such as conjoint analyses, choice experiments, and more advanced statistical tools."--Publisher's website.
650 0 _aSocial surveys.
_9324189
650 0 _aFactor analysis.
_9317703
700 1 _aHinz, Thomas,
_eauthor.
_9825080
830 0 _aQuantitative applications in the social sciences ;
_v175.
_9225259
907 _a.b14098957
_b22-08-17
_c28-10-15
942 _cB
945 _a300.723 AUS
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